Triple

T17070999
Position Surface form Disambiguated ID Type / Status
Subject Palandöken E414217 entity
Predicate hasMountain P10602 FINISHED
Object Palandöken Mountain E414217 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Palandöken Mountain | Statement: [Palandöken, hasMountain, Palandöken Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palandöken Mountain
Context triple: [Palandöken, hasMountain, Palandöken Mountain]
  • A. Palandöken chosen
    Palandöken is a district and popular ski resort area in eastern Turkey, located near the city of Erzurum in Erzurum Province.
  • B. Uludağ Mountain
    Uludağ Mountain is a prominent peak in northwestern Turkey known for its national park, rich biodiversity, and major ski resort overlooking the city of Bursa.
  • C. Dilek Dağı
    Dilek Dağı is a mountain in western Turkey forming part of the Dilek Peninsula, known for its natural beauty and protected national park status along the Aegean coast.
  • D. Mount Erciyes
    Mount Erciyes is a massive stratovolcano in central Turkey, dominating the landscape near Kayseri and contributing to the geological formation of the Cappadocia region.
  • E. Hasan Dağı
    Hasan Dağı is a prominent stratovolcano in central Turkey, notable for its twin-peaked summit and its dominance of the surrounding Cappadocian landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc0982c8190916f9905ddb5e575 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012edbce988190a784448ba8a258a5 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.